Indigenous Territoriality, Emergent Political Actors, and State Formation in the Sierra del Nayar
Bibliographic record
Abstract
B ased on original archival research and intrepid anthropological fieldwork in violent times, this book demonstrates with unprecedented scope and detail how the Indigenous communities of a region often seen as subsisting in a magical, ahistorical bubble were fully engaged in the Mexican Revolution.At the same time, it shows how these communities framed this engagement in terms of their local social organization and ritually-centred senses of place and history.As such, Soldiers, Saints, and Shamans is an elegant, interdisciplinary milestone in what Morris calls "anthrohistory" (11), the genre that Paul Friedrich conceived for The Princes of Naranja (1987), his psychological and mythopoetic magnum opus about agrarian violence in revolutionary Michoacán.Both books focus on the symbolic values and blood ties that underpin peasant land struggles, but Morris adds a finer-grained and broader regional and global comparative perspective (62, 111,(152)(153).Like Friedrich, Morris's contribution owes much to his ability to interview irreplaceable elder guardians of historical memory and ritual traditions, many of whom have since died, often sadly as a result of COVID-19.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".